Accelerating Complex Analytics using Speculation. - Panagiotis Sioulas; Viktor Sanca; Ioannis Mytilinis; Anastasia Ailamaki (CIDR, 2021)

Sampling-Based AQP in Modern Analytical Engines. - Viktor Sanca; Anastasia Ailamaki (DaMoN, 2022)

Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics. - Viktor Sanca; Anastasia Ailamaki (ICDE, 2023)

Chaosity: Understanding Contemporary NUMA-Architectures. - Hamish Nicholson; Andreea Nica; Aunn Raza; Viktor Sanca; Anastasia Ailamaki (TPCTC, 2023)

Improving K-means Clustering Using Speculation. - Stefan Igescu; Viktor Sanca; Eleni Zapridou; Anastasia Ailamaki (VLDB Workshops, 2023)

Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics. - Viktor Sanca; Anastasia Ailamaki (VLDB Workshops, 2023)

E-Scan: Consuming Contextual Data with Model Plugins. - Viktor Sanca; Anastasia Ailamaki (VLDB Workshops, 2023)

Context-Enhanced Relational Operators with Vector Embeddings. - Viktor Sanca; Manos Chatzakis; Anastasia Ailamaki (CoRR, 2023)

LAQy: Efficient and Reusable Query Approximations via Lazy Sampling. - Viktor Sanca; Periklis Chrysogelos; Anastasia Ailamaki (Proc. ACM Manag. Data, 2023)

Efficient Data Access Paths for Mixed Vector-Relational Search. - Viktor Sanca; Anastasia Ailamaki (DaMoN, 2024)

Optimizing Context-Enhanced Relational Joins. - Viktor Sanca; Manos Chatzakis; Anastasia Ailamaki (ICDE, 2024)

Efficient and Reusable Lazy Sampling. - Viktor Sanca; Periklis Chrysogelos; Anastasia Ailamaki (SIGMOD Rec., 2024)

Efficient Model-Relational Data Management: Challenges and Opportunities. - Viktor Sanca; Anastasia Ailamaki (IEEE Trans. Knowl. Data Eng., 2024)

The Cambridge Report on Database Research. - Anastasia Ailamaki; Samuel Madden 001; Daniel Abadi; Gustavo Alonso; Sihem Amer-Yahia; Magdalena Balazinska; Philip A. Bernstein; Peter A. Boncz; Michael J. Cafarella; Surajit Chaudhuri; Susan B. Davidson; David J. DeWitt; et al. (CoRR, 2025)